--------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jrthornton/Desktop/results.log
  log type:  text
 opened on:  28 May 2024, 11:41:16

. do "/var/folders/_5/2c_fbpl11wdcsp4fkpxq3x9c0000gn/T//SD05867.000000"

. ssc install revrs
checking revrs consistency and verifying not already installed...
all files already exist and are up to date.

. ssc install wyoung
checking wyoung consistency and verifying not already installed...
all files already exist and are up to date.

. set more off

. 
. use "/Users/jrthornton/Library/CloudStorage/Dropbox/Papers/Pronoun Study/TESS Bolsen
>  Deliverables (Data + Codebook)/TESS Bolsen Data.dta" , clear

. 
. svyset [pw = WEIGHT] // panel weight

      pweight: WEIGHT
          VCE: linearized
  Single unit: missing
     Strata 1: <one>
         SU 1: <observations>
        FPC 1: <zero>

. 
. 
. ********************************************************************************
. *                               Variable coding                                *
. ********************************************************************************
. * Experimental condition variable
. gen condition = P_BOLSEN

. label define conditionlabel 1 "Control" 2 "Descriptive" 3 "Injunctive" 4 "Both"  , r
> eplace

. label values condition conditionlabel  

. tab condition , gen(c) // for wyoung command which cannot handle factor variables

  condition |      Freq.     Percent        Cum.
------------+-----------------------------------
    Control |        387       24.17       24.17
Descriptive |        409       25.55       49.72
 Injunctive |        406       25.36       75.08
       Both |        399       24.92      100.00
------------+-----------------------------------
      Total |      1,601      100.00

. 
. ********************
. * Outcome varibles *
. ********************
. gen comfort = B1 if B1<98 // 98 is missing 
(7 missing values generated)

. 
. gen onlineForm = B2 if B2<98
(8 missing values generated)

. 
. gen statePronouns = B3 if B3<98
(8 missing values generated)

. 
. gen transPrej_work = B4 if B4<98
(6 missing values generated)

. gen transPrej_immoral = B5 if B5<98
(8 missing values generated)

. revrs transPrej_work , replace

. gen transPrej = (transPrej_immoral+transPrej_work)/2
(11 missing values generated)

. alpha transPrej_immoral transPrej_work

Test scale = mean(unstandardized items)

Average interitem covariance:     2.335112
Number of items in the scale:            2
Scale reliability coefficient:      0.7233

. corr transPrej_immoral transPrej_work
(obs=1,590)

             | transP~l transP~k
-------------+------------------
transPrej_~l |   1.0000
transPrej_~k |   0.5722   1.0000


. spearman transPrej_immoral transPrej_work

 Number of obs =    1590
Spearman's rho =       0.5977

Test of Ho: transPrej_immoral and transPrej_work are independent
    Prob > |t| =       0.0000

. *************************
. * Conditioning varibles *
. *************************
. 
. * Party
. gen party = PartyID5 if PartyID5 > -1
(3 missing values generated)

. recode party (1=1) (2=1) (3=2) (4=0) (5=0) 
(party: 1032 changes made)

. label define partylabel 0 "Republican" 1 "Democrat" 2 "Independent"  , replace

. label values party partylabel  

. 
. * Ideology
. gen ideology = IDEO if IDEO>-1
(21 missing values generated)

. recode ideology (1=1) (2=1) (3=2) (4=0) (5=0)
(ideology: 1375 changes made)

. label define ideologylabel 0 "Conservative" 1 "Liberal" 2 "Moderate"  , replace

. label values ideology ideologylabel  

. 
. * Gender
. gen female = GENDER - 1

. label define femalelabel 0 "Male" 1 "Female"   , replace

. label values female femalelabel  

. 
. * Race, four category
. gen race = RACE

. recode race (1=1) (2=2) (3=4) (4=3) (5=4) (6=4)
(race: 382 changes made)

. label define racelabel 1 "White" 2 "Black" 3 "Latino" 4 "Other"   , replace

. label values race racelabel  

. 
. ********************************************************************************
. *                              Primary analyses                                *
. ********************************************************************************
. 
. * Descriptive statistics by party for control group for Figure 1
. svy: mean comfort if condition == 1 , over(party)
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1           Number of obs   =        382
Number of PSUs   =     382           Population size = 350.362375
                                     Design df       =        381

-----------------------------------------------------------------
                |             Linearized
                |       Mean   Std. Err.     [95% Conf. Interval]
----------------+------------------------------------------------
c.comfort@party |
    Republican  |   3.277217   .1892534      2.905105    3.649329
      Democrat  |   4.450368   .1653535      4.125248    4.775487
   Independent  |    4.43817   .2209661      4.003705    4.872636
-----------------------------------------------------------------

. svy: mean onlineForm if condition == 1 , over(party)
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1              Number of obs   =        383
Number of PSUs   =     383              Population size = 349.185398
                                        Design df       =        382

--------------------------------------------------------------------
                   |             Linearized
                   |       Mean   Std. Err.     [95% Conf. Interval]
-------------------+------------------------------------------------
c.onlineForm@party |
       Republican  |   2.924031   .2094385      2.512234    3.335827
         Democrat  |   4.753229   .1719803      4.415083    5.091376
      Independent  |   4.197111   .2650773      3.675917    4.718304
--------------------------------------------------------------------

. svy: mean statePronouns if condition == 1 , over(party) 
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1                 Number of obs   =        385
Number of PSUs   =     385                 Population size = 351.915641
                                           Design df       =        384

-----------------------------------------------------------------------
                      |             Linearized
                      |       Mean   Std. Err.     [95% Conf. Interval]
----------------------+------------------------------------------------
c.statePronouns@party |
          Republican  |   3.704214   .2301045      3.251792    4.156637
            Democrat  |   5.029563   .1582359      4.718446     5.34068
         Independent  |   5.046911   .2316012      4.591546    5.502276
-----------------------------------------------------------------------

. svy: mean transPrej if condition == 1 , over(party) 
(running mean on estimation sample)

Survey: Mean estimation

Number of strata =       1             Number of obs   =        383
Number of PSUs   =     383             Population size = 351.517753
                                       Design df       =        382

-------------------------------------------------------------------
                  |             Linearized
                  |       Mean   Std. Err.     [95% Conf. Interval]
------------------+------------------------------------------------
c.transPrej@party |
      Republican  |   4.093371   .1748975      3.749489    4.437254
        Democrat  |    2.39072   .1703731      2.055733    2.725706
     Independent  |   3.025089   .2687595      2.496656    3.553523
-------------------------------------------------------------------

. 
. * Main effects
. svy: reg comfort i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,594
Number of PSUs     =     1,594                  Population size   = 1,596.6498
                                                Design df         =      1,593
                                                F(   3,   1591)   =       0.10
                                                Prob > F          =     0.9600
                                                R-squared         =     0.0003

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0898377   .1660911     0.54   0.589    -.2359424    .4156177
 Injunctive  |   .0379681   .1886895     0.20   0.841    -.3321377    .4080739
       Both  |   .0538869   .1641931     0.33   0.743    -.2681703    .3759441
             |
       _cons |   4.032783   .1174692    34.33   0.000     3.802373    4.263193
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,593
Number of PSUs     =     1,593                  Population size   = 1,591.2171
                                                Design df         =      1,592
                                                F(   3,   1590)   =       3.70
                                                Prob > F          =     0.0113
                                                R-squared         =     0.0140

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0969351   .1867895     0.52   0.604    -.2694442    .4633144
 Injunctive  |  -.5203408    .197121    -2.64   0.008    -.9069849   -.1336967
       Both  |  -.0413374   .1823845    -0.23   0.821    -.3990763    .3164015
             |
       _cons |   4.558801   .1310225    34.79   0.000     4.301806    4.815796
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,593
Number of PSUs     =     1,593                  Population size   = 1,591.8338
                                                Design df         =      1,592
                                                F(   3,   1590)   =       0.87
                                                Prob > F          =     0.4583
                                                R-squared         =     0.0032

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0437948   .1848502     0.24   0.813    -.3187806    .4063701
 Injunctive  |  -.1867198   .2089346    -0.89   0.372    -.5965357    .2230962
       Both  |    .142426   .1843865     0.77   0.440    -.2192399    .5040918
             |
       _cons |   4.018556   .1323251    30.37   0.000     3.759007    4.278106
------------------------------------------------------------------------------

. svy: reg transPrej i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,590
Number of PSUs     =     1,590                  Population size   = 1,592.0185
                                                Design df         =      1,589
                                                F(   3,   1587)   =       0.96
                                                Prob > F          =     0.4124
                                                R-squared         =     0.0037

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0493521   .1615076     0.31   0.760    -.2674382    .3661424
 Injunctive  |   .2514144    .179531     1.40   0.162    -.1007281    .6035568
       Both  |  -.0210411   .1650667    -0.13   0.899    -.3448126    .3027304
             |
       _cons |   3.092109   .1214137    25.47   0.000     2.853961    3.330257
------------------------------------------------------------------------------

. 
. 
. * Effects by party
. svy: reg comfort i.condition if party==2 // Independent
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        293
Number of PSUs     =       293                  Population size   = 325.863516
                                                Design df         =        292
                                                F(   3,    290)   =       0.17
                                                Prob > F          =     0.9163
                                                R-squared         =     0.0019

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.1587045   .3151871    -0.50   0.615    -.7790309     .461622
 Injunctive  |  -.2396338    .355284    -0.67   0.501    -.9388758    .4596081
       Both  |  -.1385103   .3291975    -0.42   0.674     -.786411    .5093904
             |
       _cons |    4.43817   .2210542    20.08   0.000     4.003109    4.873232
------------------------------------------------------------------------------

. svy: reg comfort i.condition  if party==0       // Republican
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        568
Number of PSUs     =       568                  Population size   = 580.455426
                                                Design df         =        567
                                                F(   3,    565)   =       0.20
                                                Prob > F          =     0.8956
                                                R-squared         =     0.0019

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.0382947   .2822545    -0.14   0.892    -.5926866    .5160973
 Injunctive  |  -.1834816   .2739595    -0.67   0.503     -.721581    .3546178
       Both  |    .001554   .2633708     0.01   0.995    -.5157476    .5188555
             |
       _cons |   3.277217   .1891721    17.32   0.000     2.905653     3.64878
------------------------------------------------------------------------------

. svy: reg comfort i.condition if party==1 // Democrat
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        730
Number of PSUs     =       730                  Population size   =  686.62453
                                                Design df         =        729
                                                F(   3,    727)   =       1.31
                                                Prob > F          =     0.2698
                                                R-squared         =     0.0100

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .3687833   .2296601     1.61   0.109    -.0820909    .8196574
 Injunctive  |   .4552557   .2725543     1.67   0.095    -.0798292    .9903407
       Both  |   .1635786   .2298097     0.71   0.477    -.2875891    .6147463
             |
       _cons |   4.450368   .1652502    26.93   0.000     4.125945    4.774791
------------------------------------------------------------------------------

. 
. svy: reg statePronouns i.condition if party==2 // Independent 
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        291
Number of PSUs     =       291                  Population size   = 323.825177
                                                Design df         =        290
                                                F(   3,    288)   =       2.74
                                                Prob > F          =     0.0435
                                                R-squared         =     0.0401

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.1421668   .3808901    -0.37   0.709    -.8918263    .6074926
 Injunctive  |  -.9481949   .3954057    -2.40   0.017    -1.726424   -.1699663
       Both  |  -.7417128   .3530258    -2.10   0.037     -1.43653   -.0468952
             |
       _cons |   5.046911   .2316986    21.78   0.000     4.590887    5.502935
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition if party==0  // Republican
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        567
Number of PSUs     =       567                  Population size   = 578.651167
                                                Design df         =        566
                                                F(   3,    564)   =       3.97
                                                Prob > F          =     0.0081
                                                R-squared         =     0.0315

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .4144138   .3396645     1.22   0.223    -.2527431    1.081571
 Injunctive  |  -.5283882   .3121277    -1.69   0.091    -1.141458    .0846817
       Both  |   .4191101   .3341738     1.25   0.210     -.237262    1.075482
             |
       _cons |   3.704214   .2300084    16.10   0.000      3.25244    4.155989
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition if party==1  // Democrat
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        732
Number of PSUs     =       732                  Population size   = 685.034341
                                                Design df         =        731
                                                F(   3,    729)   =       0.30
                                                Prob > F          =     0.8221
                                                R-squared         =     0.0027

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.0348127   .2288487    -0.15   0.879    -.4840918    .4144665
 Injunctive  |  -.2336641    .258441    -0.90   0.366    -.7410392    .2737109
       Both  |  -.0346975   .2193719    -0.16   0.874    -.4653716    .3959766
             |
       _cons |   5.029563   .1581383    31.80   0.000     4.719104    5.340022
------------------------------------------------------------------------------

. 
. 
. svy: reg onlineForm i.condition if party==2 // Independent
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        291
Number of PSUs     =       291                  Population size   = 322.750412
                                                Design df         =        290
                                                F(   3,    288)   =       0.40
                                                Prob > F          =     0.7504
                                                R-squared         =     0.0071

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.1031442   .3611661    -0.29   0.775    -.8139833    .6076948
 Injunctive  |  -.2838764    .396189    -0.72   0.474    -1.063647     .495894
       Both  |    .126952   .3636346     0.35   0.727    -.5887455    .8426495
             |
       _cons |   4.197111   .2651871    15.83   0.000     3.675175    4.719046
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition if party==0     // Republican
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        568
Number of PSUs     =       568                  Population size   = 579.466419
                                                Design df         =        567
                                                F(   3,    565)   =       1.57
                                                Prob > F          =     0.1963
                                                R-squared         =     0.0124

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.0219276   .3102545    -0.07   0.944     -.631316    .5874607
 Injunctive  |  -.4451006   .2767949    -1.61   0.108    -.9887692    .0985679
       Both  |   .0860992   .2948139     0.29   0.770    -.4929615    .6651599
             |
       _cons |   2.924031   .2093492    13.97   0.000     2.512836    3.335225
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition if party==1     // Democrat
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        731
Number of PSUs     =       731                  Population size   = 685.910592
                                                Design df         =        730
                                                F(   3,    728)   =       0.67
                                                Prob > F          =     0.5708
                                                R-squared         =     0.0041

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |    .315059   .2372043     1.33   0.185     -.150625     .780743
 Injunctive  |   .2570862   .2863627     0.90   0.370    -.3051066     .819279
       Both  |    .256308   .2443529     1.05   0.295    -.2234102    .7360262
             |
       _cons |   4.753229   .1718732    27.66   0.000     4.415805    5.090654
------------------------------------------------------------------------------

. 
. svy: reg transPrej i.condition if party==2 // Independent
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        291
Number of PSUs     =       291                  Population size   = 325.214285
                                                Design df         =        290
                                                F(   3,    288)   =       0.72
                                                Prob > F          =     0.5419
                                                R-squared         =     0.0116

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .2118914   .3304342     0.64   0.522     -.438462    .8622448
 Injunctive  |    .334397    .378526     0.88   0.378    -.4106096    1.079404
       Both  |  -.0846266   .3308256    -0.26   0.798    -.7357502    .5664971
             |
       _cons |   3.025089   .2688708    11.25   0.000     2.495904    3.554275
------------------------------------------------------------------------------

. svy: reg transPrej i.condition if party==0      // Republican
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        565
Number of PSUs     =       565                  Population size   = 575.728797
                                                Design df         =        564
                                                F(   3,    562)   =       1.24
                                                Prob > F          =     0.2931
                                                R-squared         =     0.0100

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0326773   .2507751     0.13   0.896    -.4598898    .5252444
 Injunctive  |   .3965933     .23572     1.68   0.093     -.066403    .8595895
       Both  |   .0760748   .2566543     0.30   0.767    -.4280402    .5801898
             |
       _cons |   4.093371   .1748238    23.41   0.000     3.749986    4.436757
------------------------------------------------------------------------------

. svy: reg transPrej i.condition if party==1      // Democrat
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        731
Number of PSUs     =       731                  Population size   = 687.369079
                                                Design df         =        730
                                                F(   3,    728)   =       0.18
                                                Prob > F          =     0.9096
                                                R-squared         =     0.0015

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.1379914   .2225543    -0.62   0.535    -.5749141    .2989314
 Injunctive  |  -.0923334   .2480348    -0.37   0.710    -.5792801    .3946133
       Both  |    -.14931   .2184675    -0.68   0.495    -.5782096    .2795896
             |
       _cons |    2.39072    .170267    14.04   0.000     2.056448    2.724991
------------------------------------------------------------------------------

. 
. * Extension: effects by sex and party
. svy: reg comfort i.condition if female==1 & party==0 //  Republican Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        256
Number of PSUs     =       256                  Population size   = 252.041159
                                                Design df         =        255
                                                F(   3,    253)   =       0.77
                                                Prob > F          =     0.5098
                                                R-squared         =     0.0138

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .4223161   .3965035     1.07   0.288    -.3585225    1.203155
 Injunctive  |    .450883   .3849924     1.17   0.243    -.3072866    1.209053
       Both  |   .0022411   .3325179     0.01   0.995    -.6525899    .6570721
             |
       _cons |   3.159891   .2026176    15.60   0.000     2.760874    3.558908
------------------------------------------------------------------------------

. svy: reg comfort i.condition if female==0  & party==0 // Republican Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        312
Number of PSUs     =       312                  Population size   = 328.414267
                                                Design df         =        311
                                                F(   3,    309)   =       1.62
                                                Prob > F          =     0.1848
                                                R-squared         =     0.0242

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.4999798   .3612714    -1.38   0.167    -1.210825    .2108655
 Injunctive  |  -.6036435   .3794555    -1.59   0.113    -1.350268    .1429812
       Both  |  -.0263431   .3924265    -0.07   0.947    -.7984898    .7458037
             |
       _cons |   3.376279   .3048003    11.08   0.000     2.776547     3.97601
------------------------------------------------------------------------------

. svy: reg comfort i.condition if female==1  & party==1 //  Democratic Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        420
Number of PSUs     =       420                  Population size   = 388.130465
                                                Design df         =        419
                                                F(   3,    417)   =       2.61
                                                Prob > F          =     0.0513
                                                R-squared         =     0.0326

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .7932663   .3168415     2.50   0.013     .1704694    1.416063
 Injunctive  |   .7143081   .3636213     1.96   0.050    -.0004412    1.429057
       Both  |    .263549   .3358074     0.78   0.433     -.396528    .9236261
             |
       _cons |   4.236266   .2420625    17.50   0.000     3.760458    4.712074
------------------------------------------------------------------------------

. svy: reg comfort i.condition if female==0  & party==1 //  Democratic Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        310
Number of PSUs     =       310                  Population size   = 298.494066
                                                Design df         =        309
                                                F(   3,    307)   =       0.50
                                                Prob > F          =     0.6857
                                                R-squared         =     0.0078

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.3028446   .3083271    -0.98   0.327    -.9095309    .3038416
 Injunctive  |   .1201462   .3914641     0.31   0.759    -.6501262    .8904187
       Both  |   .0069695   .2868441     0.02   0.981    -.5574452    .5713842
             |
       _cons |   4.741132   .1933299    24.52   0.000     4.360723    5.121542
------------------------------------------------------------------------------

. svy: reg comfort i.condition if female==1  & party==2 //  Independent Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        148
Number of PSUs     =       148                  Population size   = 176.161092
                                                Design df         =        147
                                                F(   3,    145)   =       0.54
                                                Prob > F          =     0.6573
                                                R-squared         =     0.0106

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0690608   .3626722     0.19   0.849    -.6476641    .7857857
 Injunctive  |   .4080457   .3520093     1.16   0.248    -.2876068    1.103698
       Both  |   .3157542   .4192029     0.75   0.453    -.5126886    1.144197
             |
       _cons |   4.265011   .2214383    19.26   0.000     3.827397    4.702624
------------------------------------------------------------------------------

. svy: reg comfort i.condition if female==0  & party==2 // Independent Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        145
Number of PSUs     =       145                  Population size   = 149.702424
                                                Design df         =        144
                                                F(   3,    142)   =       1.01
                                                Prob > F          =     0.3918
                                                R-squared         =     0.0301

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.4264102   .5233132    -0.81   0.417    -1.460778    .6079576
 Injunctive  |  -.9804561   .5897487    -1.66   0.099    -2.146139    .1852264
       Both  |  -.6376449   .5036742    -1.27   0.208    -1.633195    .3579049
             |
       _cons |   4.632356   .3855987    12.01   0.000     3.870191    5.394521
------------------------------------------------------------------------------

. 
. svy: reg statePronouns i.condition if female==1 & party==0 //  Republican Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        255
Number of PSUs     =       255                  Population size   = 250.309015
                                                Design df         =        254
                                                F(   3,    252)   =       0.71
                                                Prob > F          =     0.5476
                                                R-squared         =     0.0147

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .5975144    .486538     1.23   0.221    -.3606479    1.555677
 Injunctive  |  -.0288283   .4513705    -0.06   0.949    -.9177337    .8600771
       Both  |   .2237682   .4958964     0.45   0.652    -.7528242    1.200361
             |
       _cons |   3.882911   .3311261    11.73   0.000     3.230809    4.535014
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition if female==0  & party==0 // Republican Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        312
Number of PSUs     =       312                  Population size   = 328.342152
                                                Design df         =        311
                                                F(   3,    309)   =       4.15
                                                Prob > F          =     0.0067
                                                R-squared         =     0.0549

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .1856077   .4570083     0.41   0.685    -.7136114    1.084827
 Injunctive  |  -.8003529   .4072735    -1.97   0.050    -1.601713     .001007
       Both  |    .578523   .4464727     1.30   0.196    -.2999662    1.457012
             |
       _cons |   3.554957   .3122436    11.39   0.000      2.94058    4.169334
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition if female==1  & party==1 //  Democratic Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        422
Number of PSUs     =       422                  Population size   = 390.659127
                                                Design df         =        421
                                                F(   3,    419)   =       0.25
                                                Prob > F          =     0.8578
                                                R-squared         =     0.0035

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   -.066046   .3064835    -0.22   0.829    -.6684746    .5363825
 Injunctive  |  -.2844239   .3606686    -0.79   0.431    -.9933595    .4245116
       Both  |  -.1762745   .3009835    -0.59   0.558     -.767892    .4153431
             |
       _cons |   5.208458   .2227147    23.39   0.000     4.770687    5.646229
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition if female==0  & party==1 //  Democratic Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        310
Number of PSUs     =       310                  Population size   = 294.375214
                                                Design df         =        309
                                                F(   3,    307)   =       0.23
                                                Prob > F          =     0.8737
                                                R-squared         =     0.0036

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.0596803   .3284386    -0.18   0.856    -.7059393    .5865788
 Injunctive  |  -.1237226   .3623372    -0.34   0.733     -.836683    .5892378
       Both  |   .1616683   .3058553     0.53   0.597    -.4401542    .7634909
             |
       _cons |   4.787461   .2005963    23.87   0.000     4.392754    5.182169
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition if female==1  & party==2 //  Independent Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        146
Number of PSUs     =       146                  Population size   = 174.122753
                                                Design df         =        145
                                                F(   3,    143)   =       1.61
                                                Prob > F          =     0.1886
                                                R-squared         =     0.0487

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.0010684   .4361461    -0.00   0.998    -.8630935    .8609567
 Injunctive  |  -.6398316   .4851165    -1.32   0.189    -1.598645    .3189816
       Both  |  -.8686245   .4759941    -1.82   0.070    -1.809408    .0721585
             |
       _cons |   5.243012   .2864709    18.30   0.000     4.676814     5.80921
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition if female==0  & party==2 // Independent Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        145
Number of PSUs     =       145                  Population size   = 149.702424
                                                Design df         =        144
                                                F(   3,    142)   =       1.74
                                                Prob > F          =     0.1612
                                                R-squared         =     0.0506

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.3499949   .6251946    -0.56   0.576    -1.585739    .8857492
 Injunctive  |  -1.304896   .5768296    -2.26   0.025    -2.445043    -.164749
       Both  |  -.5923398   .5348431    -1.11   0.270    -1.649497    .4648177
             |
       _cons |   4.822479    .382715    12.60   0.000     4.066014    5.578944
------------------------------------------------------------------------------

. 
. 
. svy: reg onlineForm i.condition if female==1 & party==0 //  Republican Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        255
Number of PSUs     =       255                  Population size   = 250.309015
                                                Design df         =        254
                                                F(   3,    252)   =       0.08
                                                Prob > F          =     0.9704
                                                R-squared         =     0.0021

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .1836379   .4660622     0.39   0.694    -.7342006    1.101476
 Injunctive  |  -.0394363   .4174718    -0.09   0.925    -.8615834    .7827108
       Both  |   .0225229   .4056151     0.06   0.956    -.7762742      .82132
             |
       _cons |   3.238153   .2920575    11.09   0.000     2.662991    3.813316
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition if female==1  & party==1 //  Democratic Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        419
Number of PSUs     =       419                  Population size   = 387.074184
                                                Design df         =        418
                                                F(   3,    416)   =       0.20
                                                Prob > F          =     0.8963
                                                R-squared         =     0.0024

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .2578573    .337758     0.76   0.446    -.4060586    .9217731
 Injunctive  |   .0987441   .3977366     0.25   0.804    -.6830691    .8805573
       Both  |   .1451688   .3493188     0.42   0.678    -.5414717    .8318093
             |
       _cons |   4.917518   .2552391    19.27   0.000     4.415806     5.41923
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition if female==0  & party==0 // Republican Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        313
Number of PSUs     =       313                  Population size   = 329.157404
                                                Design df         =        312
                                                F(   3,    310)   =       2.28
                                                Prob > F          =     0.0792
                                                R-squared         =     0.0342

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.2968877   .3594946    -0.83   0.410    -1.004228    .4104526
 Injunctive  |  -.6297421   .3530274    -1.78   0.075    -1.324358    .0648734
       Both  |   .1956043   .4102637     0.48   0.634    -.6116291    1.002838
             |
       _cons |   2.661658   .2942033     9.05   0.000     2.082785    3.240532
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition if female==0  & party==1 //  Democratic Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        312
Number of PSUs     =       312                  Population size   = 298.836408
                                                Design df         =        311
                                                F(   3,    309)   =       0.81
                                                Prob > F          =     0.4877
                                                R-squared         =     0.0101

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .3465259   .3062298     1.13   0.259    -.2560182      .94907
 Injunctive  |   .4725974   .4015952     1.18   0.240    -.3175898    1.262785
       Both  |      .4156   .3290946     1.26   0.208    -.2319334    1.063133
             |
       _cons |    4.53173   .2092806    21.65   0.000     4.119946    4.943515
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition if female==1  & party==2 //  Independent Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        146
Number of PSUs     =       146                  Population size   = 173.047988
                                                Design df         =        145
                                                F(   3,    143)   =       0.33
                                                Prob > F          =     0.8015
                                                R-squared         =     0.0091

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.0983205   .5134573    -0.19   0.848    -1.113148    .9165071
 Injunctive  |   .3275803   .5066167     0.65   0.519    -.6737271    1.328888
       Both  |   .1787419   .5306751     0.34   0.737     -.870116      1.2276
             |
       _cons |   4.248572    .398612    10.66   0.000     3.460731    5.036412
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition if female==0  & party==2 // Independent Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        145
Number of PSUs     =       145                  Population size   = 149.702424
                                                Design df         =        144
                                                F(   3,    142)   =       1.39
                                                Prob > F          =     0.2471
                                                R-squared         =     0.0472

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.1242604   .5097562    -0.24   0.808    -1.131832    .8833111
 Injunctive  |  -.9802047   .5531319    -1.77   0.078    -2.073512    .1131021
       Both  |   .0687809   .4954184     0.14   0.890    -.9104507    1.048013
             |
       _cons |   4.143273   .3477636    11.91   0.000     3.455892    4.830654
------------------------------------------------------------------------------

. 
. svy: reg transPrej i.condition if female==1 & party==0 //  Republican Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        253
Number of PSUs     =       253                  Population size   = 246.804798
                                                Design df         =        252
                                                F(   3,    250)   =       0.02
                                                Prob > F          =     0.9967
                                                R-squared         =     0.0002

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0458543   .3499884     0.13   0.896    -.6434206    .7351293
 Injunctive  |   .0497031   .3363229     0.15   0.883    -.6126588     .712065
       Both  |   .0792083   .3671633     0.22   0.829    -.6438913     .802308
             |
       _cons |   3.895899   .2057904    18.93   0.000      3.49061    4.301187
------------------------------------------------------------------------------

. svy: reg transPrej i.condition if female==1  & party==1 //  Democratic Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        421
Number of PSUs     =       421                  Population size   = 389.785655
                                                Design df         =        420
                                                F(   3,    418)   =       0.49
                                                Prob > F          =     0.6873
                                                R-squared         =     0.0088

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.1775436   .3085644    -0.58   0.565    -.7840665    .4289793
 Injunctive  |   .2082776   .3647255     0.57   0.568    -.5086371    .9251922
       Both  |  -.0972798   .3081653    -0.32   0.752    -.7030183    .5084586
             |
       _cons |   2.329277     .24568     9.48   0.000     1.846361    2.812193
------------------------------------------------------------------------------

. svy: reg transPrej i.condition if female==0  & party==0 // Republican Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        312
Number of PSUs     =       312                  Population size   = 328.923999
                                                Design df         =        311
                                                F(   3,    309)   =       1.83
                                                Prob > F          =     0.1412
                                                R-squared         =     0.0255

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0506781   .3379809     0.15   0.881    -.6143403    .7156966
 Injunctive  |    .570122   .3231837     1.76   0.079    -.0657811    1.206025
       Both  |   .0304569   .3550856     0.09   0.932    -.6682171    .7291309
             |
       _cons |   4.257911   .2644853    16.10   0.000     3.737505    4.778318
------------------------------------------------------------------------------

. svy: reg transPrej i.condition if female==0  & party==1 //  Democratic Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        310
Number of PSUs     =       310                  Population size   = 297.583424
                                                Design df         =        309
                                                F(   3,    307)   =       0.81
                                                Prob > F          =     0.4912
                                                R-squared         =     0.0128

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.0388378   .3125877    -0.12   0.901    -.6539075     .576232
 Injunctive  |  -.4165844   .3036229    -1.37   0.171    -1.014014    .1808456
       Both  |  -.2215547   .3016484    -0.73   0.463    -.8150995    .3719901
             |
       _cons |   2.474163   .2235827    11.07   0.000     2.034226      2.9141
------------------------------------------------------------------------------

. svy: reg transPrej i.condition if female==1  & party==2 //  Independent Women
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        146
Number of PSUs     =       146                  Population size   = 175.511861
                                                Design df         =        145
                                                F(   3,    143)   =       1.05
                                                Prob > F          =     0.3747
                                                R-squared         =     0.0284

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .5397676   .4920864     1.10   0.275    -.4328213    1.512356
 Injunctive  |  -.0718717   .5328483    -0.13   0.893    -1.125025    .9812814
       Both  |   .0100198   .4960537     0.02   0.984    -.9704104    .9904499
             |
       _cons |   2.884707   .4207039     6.86   0.000     2.053203    3.716211
------------------------------------------------------------------------------

. svy: reg transPrej i.condition if female==0  & party==2 // Independent Men
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        145
Number of PSUs     =       145                  Population size   = 149.702424
                                                Design df         =        144
                                                F(   3,    142)   =       1.92
                                                Prob > F          =     0.1290
                                                R-squared         =     0.0649

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.2000605   .4263612    -0.47   0.640    -1.042795    .6426744
 Injunctive  |   .7887115    .472512     1.67   0.097    -.1452439    1.722667
       Both  |   -.195674   .4214244    -0.46   0.643    -1.028651    .6373028
             |
       _cons |   3.185753   .3120186    10.21   0.000     2.569024    3.802481
------------------------------------------------------------------------------

. 
. 
. ********************************************************************************
. *                              Robusenss checks                                *
. ********************************************************************************
. 
. * Effects by ideological identification 
. svy: reg comfort i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,594
Number of PSUs     =     1,594                  Population size   = 1,596.6498
                                                Design df         =      1,593
                                                F(   3,   1591)   =       0.10
                                                Prob > F          =     0.9600
                                                R-squared         =     0.0003

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0898377   .1660911     0.54   0.589    -.2359424    .4156177
 Injunctive  |   .0379681   .1886895     0.20   0.841    -.3321377    .4080739
       Both  |   .0538869   .1641931     0.33   0.743    -.2681703    .3759441
             |
       _cons |   4.032783   .1174692    34.33   0.000     3.802373    4.263193
------------------------------------------------------------------------------

. svy: reg comfort i.condition if ideology==2 // Moderate
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        751
Number of PSUs     =       751                  Population size   = 770.469006
                                                Design df         =        750
                                                F(   3,    748)   =       0.22
                                                Prob > F          =     0.8849
                                                R-squared         =     0.0012

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0693734   .2026365     0.34   0.732    -.3284288    .4671755
 Injunctive  |   .0816951   .2597347     0.31   0.753    -.4281983    .5915886
       Both  |   .1702562   .2112964     0.81   0.421    -.2445466     .585059
             |
       _cons |   4.036259   .1408871    28.65   0.000     3.759679    4.312839
------------------------------------------------------------------------------

. svy: reg comfort i.condition  if ideology==0    // Conservative
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        434
Number of PSUs     =       434                  Population size   = 459.436972
                                                Design df         =        433
                                                F(   3,    431)   =       0.02
                                                Prob > F          =     0.9970
                                                R-squared         =     0.0002

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.0660257   .3245844    -0.20   0.839    -.7039826    .5719311
 Injunctive  |   -.017406   .3076222    -0.06   0.955    -.6220243    .5872124
       Both  |  -.0473621   .3067126    -0.15   0.877    -.6501927    .5554686
             |
       _cons |   3.122177   .2121158    14.72   0.000     2.705272    3.539082
------------------------------------------------------------------------------

. svy: reg comfort i.condition  if ideology==1    // Liberal
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        389
Number of PSUs     =       389                  Population size   = 339.470074
                                                Design df         =        388
                                                F(   3,    386)   =       1.25
                                                Prob > F          =     0.2910
                                                R-squared         =     0.0142

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .3698364   .3045784     1.21   0.225    -.2289943    .9686671
 Injunctive  |   .4001957   .3708687     1.08   0.281    -.3289681     1.12936
       Both  |  -.0638737   .3048935    -0.21   0.834    -.6633238    .5355765
             |
       _cons |   5.112385   .2382446    21.46   0.000     4.643973    5.580797
------------------------------------------------------------------------------

. 
. svy: reg statePronouns i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,593
Number of PSUs     =     1,593                  Population size   = 1,591.2171
                                                Design df         =      1,592
                                                F(   3,   1590)   =       3.70
                                                Prob > F          =     0.0113
                                                R-squared         =     0.0140

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0969351   .1867895     0.52   0.604    -.2694442    .4633144
 Injunctive  |  -.5203408    .197121    -2.64   0.008    -.9069849   -.1336967
       Both  |  -.0413374   .1823845    -0.23   0.821    -.3990763    .3164015
             |
       _cons |   4.558801   .1310225    34.79   0.000     4.301806    4.815796
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition if ideology==2 // Moderate
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        751
Number of PSUs     =       751                  Population size   = 769.070919
                                                Design df         =        750
                                                F(   3,    748)   =       2.96
                                                Prob > F          =     0.0317
                                                R-squared         =     0.0235

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0244534   .2389768     0.10   0.919    -.4446896    .4935963
 Injunctive  |  -.7110486   .2737235    -2.60   0.010    -1.248404   -.1736932
       Both  |  -.2021545   .2397023    -0.84   0.399    -.6727218    .2684128
             |
       _cons |   4.635714   .1729427    26.80   0.000     4.296205    4.975224
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition  if ideology==0      // Conservative
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        432
Number of PSUs     =       432                  Population size   = 456.851268
                                                Design df         =        431
                                                F(   3,    429)   =       1.51
                                                Prob > F          =     0.2104
                                                R-squared         =     0.0163

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |    .004421   .4150979     0.01   0.992     -.811447     .820289
 Injunctive  |  -.4469416   .3771329    -1.19   0.237     -1.18819    .2943069
       Both  |   .3611733   .3960941     0.91   0.362    -.4173431     1.13969
             |
       _cons |   3.839515   .2765503    13.88   0.000      3.29596     4.38307
------------------------------------------------------------------------------

. svy: reg statePronouns i.condition  if ideology==1      // Liberal
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        392
Number of PSUs     =       392                  Population size   = 340.021109
                                                Design df         =        391
                                                F(   3,    389)   =       0.64
                                                Prob > F          =     0.5913
                                                R-squared         =     0.0073

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .1549576   .2909314     0.53   0.595     -.417028    .7269433
 Injunctive  |  -.1083874   .3454579    -0.31   0.754    -.7875749       .5708
       Both  |  -.2642756   .3044748    -0.87   0.386    -.8628883     .334337
             |
       _cons |   5.402597   .2012167    26.85   0.000     5.006995    5.798199
------------------------------------------------------------------------------

. 
. svy: reg onlineForm i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,593
Number of PSUs     =     1,593                  Population size   = 1,591.8338
                                                Design df         =      1,592
                                                F(   3,   1590)   =       0.87
                                                Prob > F          =     0.4583
                                                R-squared         =     0.0032

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0437948   .1848502     0.24   0.813    -.3187806    .4063701
 Injunctive  |  -.1867198   .2089346    -0.89   0.372    -.5965357    .2230962
       Both  |    .142426   .1843865     0.77   0.440    -.2192399    .5040918
             |
       _cons |   4.018556   .1323251    30.37   0.000     3.759007    4.278106
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition if ideology==2 // Moderate
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        749
Number of PSUs     =       749                  Population size   = 767.761467
                                                Design df         =        748
                                                F(   3,    746)   =       0.43
                                                Prob > F          =     0.7330
                                                R-squared         =     0.0027

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.1745896   .2317604    -0.75   0.451    -.6295679    .2803887
 Injunctive  |  -.0558985   .2912753    -0.19   0.848    -.6277128    .5159158
       Both  |   .0847714   .2377241     0.36   0.721    -.3819143    .5514572
             |
       _cons |   4.214317   .1657091    25.43   0.000     3.889006    4.539627
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition  if ideology==0 // Conservative
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        433
Number of PSUs     =       433                  Population size   =  457.66652
                                                Design df         =        432
                                                F(   3,    430)   =       1.03
                                                Prob > F          =     0.3788
                                                R-squared         =     0.0139

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0788967   .3433373     0.23   0.818    -.5959227    .7537162
 Injunctive  |  -.3780132   .3207599    -1.18   0.239    -1.008457     .252431
       Both  |   .1744539   .3357406     0.52   0.604    -.4854344    .8343423
             |
       _cons |   2.724435    .222561    12.24   0.000     2.286998    3.161873
------------------------------------------------------------------------------

. svy: reg onlineForm i.condition  if ideology==1 // Liberal
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        391
Number of PSUs     =       391                  Population size   = 339.132016
                                                Design df         =        390
                                                F(   3,    388)   =       0.58
                                                Prob > F          =     0.6301
                                                R-squared         =     0.0068

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .4137226   .3234347     1.28   0.202    -.2221711    1.049616
 Injunctive  |   .1729334   .3739813     0.46   0.644    -.5623383    .9082051
       Both  |   .1825039   .3301468     0.55   0.581    -.4665864    .8315941
             |
       _cons |   5.292287   .2531143    20.91   0.000     4.794647    5.789926
------------------------------------------------------------------------------

. 
. svy: reg transPrej i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,590
Number of PSUs     =     1,590                  Population size   = 1,592.0185
                                                Design df         =      1,589
                                                F(   3,   1587)   =       0.96
                                                Prob > F          =     0.4124
                                                R-squared         =     0.0037

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .0493521   .1615076     0.31   0.760    -.2674382    .3661424
 Injunctive  |   .2514144    .179531     1.40   0.162    -.1007281    .6035568
       Both  |  -.0210411   .1650667    -0.13   0.899    -.3448126    .3027304
             |
       _cons |   3.092109   .1214137    25.47   0.000     2.853961    3.330257
------------------------------------------------------------------------------

. svy: reg transPrej i.condition if ideology==2 // Moderate
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        747
Number of PSUs     =       747                  Population size   = 765.024671
                                                Design df         =        746
                                                F(   3,    744)   =       0.81
                                                Prob > F          =     0.4873
                                                R-squared         =     0.0052

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |   .2271866   .2151353     1.06   0.291    -.1951561    .6495293
 Injunctive  |   .1560866   .2361582     0.66   0.509     -.307527    .6197003
       Both  |   -.056452   .2070017    -0.27   0.785    -.4628271    .3499231
             |
       _cons |   2.899131   .1565536    18.52   0.000     2.591793    3.206469
------------------------------------------------------------------------------

. svy: reg transPrej i.condition  if ideology==0  // Conservative
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        432
Number of PSUs     =       432                  Population size   = 457.883663
                                                Design df         =        431
                                                F(   3,    429)   =       2.18
                                                Prob > F          =     0.0893
                                                R-squared         =     0.0222

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |  -.2907995   .2815142    -1.03   0.302     -.844111    .2625119
 Injunctive  |   .3609383   .2648666     1.36   0.174    -.1596527    .8815293
       Both  |   .0515827   .3018202     0.17   0.864    -.5416399    .6448053
             |
       _cons |   4.342377   .2046433    21.22   0.000     3.940154    4.744601
------------------------------------------------------------------------------

. svy: reg transPrej i.condition  if ideology==1  // Liberal
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        392
Number of PSUs     =       392                  Population size   = 342.082969
                                                Design df         =        391
                                                F(   3,    389)   =       0.25
                                                Prob > F          =     0.8614
                                                R-squared         =     0.0032

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
   condition |
Descriptive  |    .128962   .2280816     0.57   0.572    -.3194577    .5773818
 Injunctive  |  -.0661791   .2122757    -0.31   0.755    -.4835237    .3511656
       Both  |   .0584828   .2356768     0.25   0.804    -.4048696    .5218351
             |
       _cons |   1.844728    .144938    12.73   0.000     1.559773    2.129683
------------------------------------------------------------------------------

. 
. * Multiple comparisons of main analysis
. # delimit ;
delimiter now ;
. wyoung comfort statePronouns onlineForm transPrej , 
>         cmd(reg OUTCOMEVAR c2 c3 c4, r ) 
>         familyp(c2 c3 c4) 
>         bootstraps(1000) 
>         seed(123)
>         ;
Estimating family-wise adjusted p-values for 12 hypothesis tests

familyp: c2
    reg comfort c2 c3 c4, r
    reg statePronouns c2 c3 c4, r
    reg onlineForm c2 c3 c4, r
    reg transPrej c2 c3 c4, r

familyp: c3
    reg comfort c2 c3 c4, r
    reg statePronouns c2 c3 c4, r
    reg onlineForm c2 c3 c4, r
    reg transPrej c2 c3 c4, r

familyp: c4
    reg comfort c2 c3 c4, r
    reg statePronouns c2 c3 c4, r
    reg onlineForm c2 c3 c4, r
    reg transPrej c2 c3 c4, r

     +---------------------------------------------------------------------------+
  1. |  k |                         model |       outcome | familyp |       coef |
     |  1 |       reg comfort c2 c3 c4, r |       comfort |      c2 |  .02914491 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |   .1347846   |  .82883368   |         1   |           1   |    .9998273   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
  2. |  k |                         model |       outcome | familyp |       coef |
     |  2 | reg statePronouns c2 c3 c4, r | statePronouns |      c2 | -.03134758 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .14552357   |  .82947345   |         1   |           1   |    .9998273   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
  3. |  k |                         model |       outcome | familyp |       coef |
     |  3 |    reg onlineForm c2 c3 c4, r |    onlineForm |      c2 | -.01920795 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .15165454   |  .89922872   |         1   |           1   |    .9998273   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
  4. |  k |                         model |       outcome | familyp |       coef |
     |  4 |     reg transPrej c2 c3 c4, r |     transPrej |      c2 |  .13756614 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .12643833   |  .27675611   |        .9   |           1   |   .94585443   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
  5. |  k |                         model |       outcome | familyp |       coef |
     |  5 |       reg comfort c2 c3 c4, r |       comfort |      c3 |  .02953318 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .13216648   |  .82321059   |         1   |           1   |    .9998273   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
  6. |  k |                         model |       outcome | familyp |       coef |
     |  6 | reg statePronouns c2 c3 c4, r | statePronouns |      c3 | -.44404249 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .14794589   |  .00272944   |      .031   |   .03275327   |   .03226603   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
  7. |  k |                         model |       outcome | familyp |       coef |
     |  7 |    reg onlineForm c2 c3 c4, r |    onlineForm |      c3 | -.18957832 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .15229741   |  .21339243   |      .835   |           1   |   .90930544   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
  8. |  k |                         model |       outcome | familyp |       coef |
     |  8 |     reg transPrej c2 c3 c4, r |     transPrej |      c3 |  .18249646 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .12486183   |  .14405244   |      .707   |           1   |   .81931641   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
  9. |  k |                         model |       outcome | familyp |       coef |
     |  9 |       reg comfort c2 c3 c4, r |       comfort |      c4 |  .04097309 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .13249078   |  .75717003   |         1   |           1   |   .99979497   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
 10. |  k |                         model |       outcome | familyp |       coef |
     | 10 | reg statePronouns c2 c3 c4, r | statePronouns |      c4 |  -.0945295 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .14356387   |  .51034501   |       .98   |           1   |   .99325113   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
 11. |  k |                         model |       outcome | familyp |       coef |
     | 11 |    reg onlineForm c2 c3 c4, r |    onlineForm |      c4 |  .12686811 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .15045192   |  .39921732   |      .962   |           1   |   .98302776   |
     +---------------------------------------------------------------------------+

     +---------------------------------------------------------------------------+
 12. |  k |                         model |       outcome | familyp |       coef |
     | 12 |     reg transPrej c2 c3 c4, r |     transPrej |      c4 | -.00797258 |
     |---------------------------------------------------------------------------|
     |     stderr   |          p   |   pwyoung   |       pbonf   |      psidak   |
     |  .12626051   |  .94965986   |         1   |           1   |    .9998273   |
     +---------------------------------------------------------------------------+

. # delimit cr
delimiter now cr
. 
. * Main analyses with controls
. replace PartyID7 = . if PartyID7<0
(3 real changes made, 3 to missing)

. replace IDEO = . if IDEO<0
(21 real changes made, 21 to missing)

. 
. svy: reg comfort ATTEND PartyID7 IDEO GENDER AGE i.race EDUC5 INCOME ///
>         i.METRO i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,574
Number of PSUs     =     1,574                  Population size   = 1,569.3761
                                                Design df         =      1,573
                                                F(  14,   1560)   =      20.17
                                                Prob > F          =     0.0000
                                                R-squared         =     0.2338

------------------------------------------------------------------------------
             |             Linearized
     comfort |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      ATTEND |   .0059117    .009102     0.65   0.516    -.0119416     .023765
    PartyID7 |  -.1577136   .0339005    -4.65   0.000    -.2242085   -.0912186
        IDEO |  -.5048682   .0668401    -7.55   0.000    -.6359733   -.3737631
      GENDER |   .2488227   .1110516     2.24   0.025     .0309979    .4666475
         AGE |  -.0190319    .003479    -5.47   0.000    -.0258559   -.0122079
             |
        race |
      Black  |  -.5495696   .2012808    -2.73   0.006    -.9443765   -.1547626
     Latino  |  -.0846107   .1499079    -0.56   0.573    -.3786511    .2094298
      Other  |   .1156507   .2294247     0.50   0.614    -.3343598    .5656611
             |
       EDUC5 |  -.0628073   .0559501    -1.12   0.262    -.1725519    .0469373
      INCOME |  -.0016726   .0141397    -0.12   0.906    -.0294072    .0260621
             |
       METRO |
 Metro Area  |  -.0600561   .1710922    -0.35   0.726    -.3956489    .2755366
             |
   condition |
Descriptive  |    .051362   .1456548     0.35   0.724     -.234336    .3370601
 Injunctive  |   .0891127   .1668591     0.53   0.593     -.238177    .4164024
       Both  |   .0067956   .1482602     0.05   0.963    -.2840128     .297604
             |
       _cons |   7.048279   .3883553    18.15   0.000      6.28653    7.810028
------------------------------------------------------------------------------

. svy: reg statePronouns ATTEND PartyID7 IDEO GENDER AGE i.race EDUC5 INCOME ///
>         i.METRO i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,575
Number of PSUs     =     1,575                  Population size   = 1,565.9433
                                                Design df         =      1,574
                                                F(  14,   1561)   =      12.88
                                                Prob > F          =     0.0000
                                                R-squared         =     0.1410

------------------------------------------------------------------------------
             |             Linearized
stateProno~s |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      ATTEND |  -.0009583   .0085444    -0.11   0.911    -.0177179    .0158012
    PartyID7 |  -.1050837   .0381363    -2.76   0.006     -.179887   -.0302804
        IDEO |  -.4253565   .0730755    -5.82   0.000     -.568692    -.282021
      GENDER |     .40798   .1272113     3.21   0.001     .1584586    .6575014
         AGE |   .0090844   .0037011     2.45   0.014     .0018248    .0163441
             |
        race |
      Black  |  -.3713818   .2164058    -1.72   0.086    -.7958558    .0530921
     Latino  |  -.3778094   .1703732    -2.22   0.027    -.7119917    -.043627
      Other  |   .3122948   .2366259     1.32   0.187    -.1518402    .7764299
             |
       EDUC5 |  -.1261172   .0637549    -1.98   0.048    -.2511707   -.0010636
      INCOME |  -.0373768   .0158421    -2.36   0.018    -.0684507   -.0063029
             |
       METRO |
 Metro Area  |  -.2353254   .1834224    -1.28   0.200    -.5951034    .1244526
             |
   condition |
Descriptive  |   .0603629   .1657376     0.36   0.716    -.2647267    .3854525
 Injunctive  |  -.4219874   .1733483    -2.43   0.015    -.7620053   -.0819695
       Both  |  -.0394053   .1696421    -0.23   0.816    -.3721536     .293343
             |
       _cons |    6.26549   .4310714    14.53   0.000     5.419956    7.111025
------------------------------------------------------------------------------

. svy: reg onlineForm ATTEND PartyID7 IDEO GENDER AGE i.race EDUC5 INCOME ///
>         i.METRO i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,573
Number of PSUs     =     1,573                  Population size   =   1,564.56
                                                Design df         =      1,572
                                                F(  14,   1559)   =      43.72
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3141

------------------------------------------------------------------------------
             |             Linearized
  onlineForm |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      ATTEND |   -.006834   .0073874    -0.93   0.355    -.0213241    .0076561
    PartyID7 |  -.2660677     .03937    -6.76   0.000     -.343291   -.1888444
        IDEO |  -.5634647   .0718384    -7.84   0.000    -.7043739   -.4225555
      GENDER |   .5511037   .1177061     4.68   0.000     .3202262    .7819813
         AGE |  -.0171107   .0034892    -4.90   0.000    -.0239546   -.0102668
             |
        race |
      Black  |   -.764793   .2303675    -3.32   0.001    -1.216653    -.312933
     Latino  |  -.3296882   .1573863    -2.09   0.036    -.6383973    -.020979
      Other  |   .0933578   .2657922     0.35   0.725    -.4279867    .6147023
             |
       EDUC5 |   -.005845   .0600617    -0.10   0.922    -.1236546    .1119645
      INCOME |  -.0028271   .0156587    -0.18   0.857    -.0335412    .0278869
             |
       METRO |
 Metro Area  |   .1568484   .1631908     0.96   0.337     -.163246    .4769429
             |
   condition |
Descriptive  |   .0216778   .1570704     0.14   0.890    -.2864117    .3297674
 Injunctive  |  -.1106574    .170153    -0.65   0.516    -.4444081    .2230933
       Both  |   .0977464   .1595817     0.61   0.540    -.2152689    .4107618
             |
       _cons |   6.852483   .3966702    17.28   0.000     6.074425    7.630542
------------------------------------------------------------------------------

. svy: reg transPrej ATTEND PartyID7 IDEO GENDER AGE i.race EDUC5 INCOME ///
>         i.METRO i.condition
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =      1,571
Number of PSUs     =     1,571                  Population size   = 1,564.9913
                                                Design df         =      1,570
                                                F(  14,   1557)   =      41.18
                                                Prob > F          =     0.0000
                                                R-squared         =     0.3441

------------------------------------------------------------------------------
             |             Linearized
   transPrej |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
      ATTEND |   .0156594   .0088025     1.78   0.075    -.0016064    .0329253
    PartyID7 |   .2649024   .0342082     7.74   0.000     .1978038     .332001
        IDEO |   .4737701   .0581696     8.14   0.000     .3596719    .5878683
      GENDER |  -.3116951   .0953383    -3.27   0.001     -.498699   -.1246913
         AGE |    .006693   .0027247     2.46   0.014     .0013486    .0120374
             |
        race |
      Black  |   .8315434   .1695696     4.90   0.000     .4989368     1.16415
     Latino  |   .2640864   .1345508     1.96   0.050     .0001683    .5280045
      Other  |   .0645535   .2123703     0.30   0.761    -.3520058    .4811129
             |
       EDUC5 |  -.0668985   .0489938    -1.37   0.172    -.1629986    .0292016
      INCOME |  -.0324543   .0123571    -2.63   0.009    -.0566926   -.0082161
             |
       METRO |
 Metro Area  |  -.1772421   .1340402    -1.32   0.186    -.4401588    .0856747
             |
   condition |
Descriptive  |   .0181574   .1360553     0.13   0.894    -.2487117    .2850266
 Injunctive  |   .1808985   .1360241     1.33   0.184    -.0859095    .4477066
       Both  |   .0480088   .1333652     0.36   0.719    -.2135839    .3096015
             |
       _cons |   1.242132   .3200536     3.88   0.000     .6143547     1.86991
------------------------------------------------------------------------------

. 
. log close
      name:  <unnamed>
       log:  /Users/jrthornton/Desktop/results.log
  log type:  text
 closed on:  28 May 2024, 11:41:58
--------------------------------------------------------------------------------------
